Package: dnr 0.3.6

dnr: Simulate Dynamic Networks using Exponential Random Graph Models (ERGM) Family

Functions are provided to fit temporal lag models to dynamic networks. The models are build on top of exponential random graph models (ERGM) framework. There are functions for simulating or forecasting networks for future time points. Abhirup Mallik & Zack W. Almquist (2019) Stable Multiple Time Step Simulation/Prediction From Lagged Dynamic Network Regression Models, Journal of Computational and Graphical Statistics, 28:4, 967-979, <doi:10.1080/10618600.2019.1594834>.

Authors:Abhirup Mallik [aut, cre], Zack Almquist [aut]

dnr_0.3.6.tar.gz
dnr_0.3.6.zip(r-4.7-any)dnr_0.3.6.zip(r-4.6-any)dnr_0.3.6.zip(r-4.5-any)
dnr_0.3.6.tgz(r-4.6-any)dnr_0.3.6.tgz(r-4.5-any)
dnr_0.3.6.tar.gz(r-4.7-any)dnr_0.3.6.tar.gz(r-4.6-any)
dnr_0.3.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dnr/json (API)

# Install 'dnr' in R:

install.packages('dnr', repos = c('https://abhirupkgp.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

beach - Dynamically changing network of inter personal communication among the visitors of a beach in southern California.
rdNets - Blog citation network

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.04 score 22 scripts 456 downloads 13 exports 54 dependencies

Last updated from:962c179e48. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	152
source / vignettes	OK	232
linux-release	OK	149
macos-release	OK	178
macos-oldrel	OK	191
windows-devel	OK	109
windows-release	OK	111
windows-oldrel	OK	112
wasm-release	OK	109

Exports:binaryPlot clustCoef engineEdge engineEdgeNS engineVertex engineVertexNS expdeg ntriangles paramEdge paramVertex paramVertexOnly paramVertexOnlyGroup vdegree

Dependencies:abind arm boot cachem cli coda codetools cpp11 DEoptimR ergm evaluate fastmap foreach glmnet glue highr igraph iterators knitr lattice lifecycle lme4 lpSolveAPI magrittr MASS Matrix memoise minqa network nlme nloptr pillar pkgconfig purrr rbibutils Rcpp RcppEigen Rdpack reformulas rlang rle robustbase shape sna statnet.common stringi stringr survival tibble trust utf8 vctrs xfun yaml

Dynamic Network Regression Using dnr

Rendered fromdnr_vignette.Rnwusingknitr::knitr

Last update: 2020-11-30
Started: 2018-02-23

Help page	Topics
Dynamically changing network of inter personal communication among the visitors of a beach in southern California.	beach
binaryPlot	binaryPlot
clustCoef	clustCoef
Implementation of simulation engine for dynamic networks using smoothing estimates of change statistics.	engineEdge
Implementation of simulation engine for dynamic networks using smoothing estimates of change statistics.	engineEdgeBayes
Implementation of simulation engine for dynamic networks without using smoothing estimates of change statistics.	engineEdgeNS
Simulation Engine for dynamic Vertex case.	engineVertex
Simulation Engine for dynamic Vertex case without smoothing of estimated predictor matrices.	engineVertexNS
expdeg	expdeg
ntriangles	ntriangles
Parameter estimation for static vertex case.	paramEdge
Parameter estimation for Vertex dynamics	paramVertex
Parameter estimation for Vertex model only for a list of dynamic networks.	paramVertexOnly
Parameter estimation for Vertex model only for a list of dynamic networks.	paramVertexOnlyGroup
Blog citation network	rdNets
General purpose regression engine for the methods bayesglm, glm and glmnet	regEngine
vdegree	vdegree

Package: dnr 0.3.6

dnr: Simulate Dynamic Networks using Exponential Random Graph Models (ERGM) Family

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)